ImageNomer: developing an fMRI and omics visualization tool to detect racial bias in functional connectivity. (arXiv:2302.00767v1 [q-bio.PE])

Meta-Analytic Operation of Threshold-independent Filtering (MOTiF) Reveals Sub-threshold Genomic Robustness in Trisomy. (arXiv:2302.00772v1 [q-bio.QM])

Using Machine Learning to Develop Smart Reflex Testing Protocols. (arXiv:2302.00794v1 [cs.LG])

Existence of exact solution of the Susceptible-Exposed-Infectious-Recovered (SEIR) epidemic model. (arXiv:2302.00826v1 [q-bio.PE])

Molecular Geometry-aware Transformer for accurate 3D Atomic System modeling. (arXiv:2302.00855v1 [q-bio.MN])

The Challenges and Opportunities in Creating an Early Warning System for Global Pandemics. (arXiv:2302.00863v1 [q-bio.QM])

Quantifying optimal resource allocation strategies for controlling epidemics. (arXiv:2302.00960v1 [q-bio.PE])

Biophysical aspects of neurocognitive modeling with long-term sustained temperature variations. (arXiv:2302.01019v1 [q-bio.NC])

Convergence to the Equilibrium State in an Outbreak: When Can Growth Rates Accurately be Measured?. (arXiv:2302.01076v1 [q-bio.PE])

NetMoST: A network-based machine learning approach for subtyping schizophrenia using polygenic haplotype biomarkers. (arXiv:2302.00104v1 [q-bio.MN])

Universal Topological Regularities of Syntactic Structures: Decoupling Efficiency from Optimization. (arXiv:2302.00129v1 [cs.CL])

Emerging Trends in Droplet Microfluidic Screens for Biotechnology. (arXiv:2302.00142v1 [q-bio.QM])

Gyri vs. Sulci: Disentangling Brain Core-Periphery Functional Networks via Twin-Transformer. (arXiv:2302.00146v1 [q-bio.NC])

Deep Learning Approach to Predict Hemorrhage in Moyamoya Disease. (arXiv:2302.00188v1 [cs.LG])

Electrode Selection for Noninvasive Fetal Electrocardiogram Extraction using Mutual Information Criteria. (arXiv:2302.00206v1 [eess.SP])

Efficient Scopeformer: Towards Scalable and Rich Feature Extraction for Intracranial Hemorrhage Detection. (arXiv:2302.00220v1 [cs.CV])

Development of deep biological ages aware of morbidity and mortality based on unsupervised and semi-supervised deep learning approaches. (arXiv:2302.00319v1 [cs.LG])

Inferring pointwise diffusion properties of single trajectories with deep learning. (arXiv:2302.00410v1 [cond-mat.soft])

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